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Bat Echolocation Researc h - Bat Conservation International

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The chance of detection also depends on the nature<br />

of the habitat and amount of clutter present. In an open<br />

field, any system will sample a cone-shaped volume with<br />

a relatively even detection probability within this cone.<br />

At a forest edge or on a forest path, the shape of the cone<br />

will be biased towards the open part of the habitat (Fig.<br />

6). The directionality of a microphone is also frequency<br />

dependent, with more directionality at higher frequencies<br />

than at lower frequencies. In wide-angle microphones,<br />

frequency will have more impact than in directional<br />

microphones. So at least theoretically, we may<br />

expect differences in sampled area, and in detection<br />

chance between species in relation to the frequencies<br />

they use. The sound produced by the bats also varies in<br />

its directionality.<br />

In studies whose purpose is to make detailed observations<br />

of flight course and flight behavior, a double array<br />

of microphones has been used to accurately locate the bat<br />

(Holderied 2001). The exact position can then be calculated<br />

by triangulating, pulse by pulse, signals from the different<br />

microphones. Wide-angle microphones will<br />

enhance the chance of detecting the bat in all microphones.<br />

However, as wide-angle microphones are generally<br />

less sensitive, the range is reduced (Holderied 2001).<br />

Table 2: A comparison of heterodyne, frequency-division,<br />

and time-expansion detection and conversion systems with<br />

respect to the potential these systems provide for interpretation<br />

of audible parameters for identification in the field and/or<br />

the analysis of recorded sound involving oscillograms, multispectrograms,<br />

frequency spectrograms, and zero crossing.<br />

Legend: ++ = good, + = possible, +/- = difficult, - = not possible,<br />

or: ++ = relatively inexpensive, + = intermediate, +/- = relatively expensive.<br />

* no direct information, but information on FR rate/shape/curvature can be<br />

deduced from tonal quality, change of pitch while tuning, position of QCF,<br />

or shallow FM in the pulse relative to steeper FM.<br />

Section 2: Acoustic Inventories<br />

Broadband versus Narrowband Detectors<br />

Broadband systems have the advantage of allowing<br />

simultaneous detection of different bats that use different<br />

frequencies. Although TE and FD systems are broadband,<br />

theoretically enabling observers to monitor the<br />

entire bandwidth used by the bats, limitations are set by<br />

the frequency response of the microphones and the filters<br />

that are incorporated into the detector to reduce<br />

noise at lower frequencies.<br />

Tuned heterodyning systems optimally detect signals<br />

in the narrow frequency window around the tuned frequency.<br />

This is an advantage in various situations. It<br />

allows the researcher to concentrate on particular<br />

species outside the frequency range of others. Tuning to<br />

the loudest frequency can also increase detection range.<br />

The detector can be tuned outside potential sources of<br />

noise, such as traffic or insects. Conversely, bats using<br />

frequencies outside of the tuned frequency range will be<br />

missed (Fig. 7). With a handheld detector, this can be<br />

compensated for by manually scanning the frequencies<br />

of interest. For stationary detectors, a ‘best setting’ has to<br />

be chosen, where all or most of the expected species will<br />

be detected. In some models of heterodyne systems, an<br />

automated scanning function is available.<br />

THE DETECTOR AS A TOOL FOR IDENTIFICATION<br />

Many current applications of bat detectors concern<br />

linking species to their calls for species identification.<br />

These studies started with high-frequency microphones<br />

connected to instrumentation tape recorders (e.g., Ahlén<br />

1981, 1990; Fenton and Bell 1981), and advanced to<br />

recording of frequency-division signals (Ahlén 1981,<br />

1990; Ahlén et al. 1984; De Jong and Limpens 1985;<br />

Weid and Von Helversen 1987), to recording timeexpanded<br />

signals on DAT recorders or direct recording<br />

Figure 6: Nature of sampling bias as a function of habitat complexity.<br />

31

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